Schematron V2 Turbo
inference-net · released Sep 12, 2026 · inference-net/schematron-v2-granite-4.0-h-micro
- Type
- Open weights
- Params
- Not published
- Context
- 128K
about 96K words of context
Our take
Written Sep 12, 2026Schematron V2 Turbo is a downloadable text-only model from inference-net that handles up to 128,000 tokens in a single request. It offers identical rates across its two providers, though no benchmark scores or parameter count are published yet.
Pick this for budget text-only inference when measured quality is not a deciding factor, or for 128K-context needs on a low-cost endpoint. Skip it if you need verified performance scores, multimodal input, or confirmed licence terms before deployment.
The case for it
- Identical pricing across both listed providers removes cost-driven vendor lock-in.
- 128,000-token request limit suits long-document work at a low-cost endpoint.
The case against it
- No benchmark scores in our data, so there is no measured basis for quality or capability claims.
- Throughput is unverified on OpenRouter; only inference-net direct has a measured figure.
- Licence terms are undisclosed despite downloadable weights, creating legal uncertainty.
How good is it?
We hold no score for this model.
So there is no figure here for everyday use, coding, agent work or writing. That is a gap in our data, not a low score.
Where to rent it
Prices checked 2 hours ago — each listing carries its own date.
- per 1M tokens
- $0.030 in / $0.15 out
- Context served
- 128K
- Throughput
- ~28 tok/s
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| OpenRouterOpenRouter's own listing | $0.030 / $0.15checked 2 hours ago | 128K | not measured | Unknown | Unknown | Unknown |
| InferenceNetThrough OpenRouter | $0.030 / $0.15checked 2 hours ago | 128K8K max reply | 28 tok/s | No | No | Confirmed |
OpenRouterAcross the 2 listings we hold: 1 says it does not train on prompts, 0 say they do and 1 does not say. 1 appears in the zero-retention registry we check; the rest are unknown to us.
What each host's API supports
From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.
| Provider | Tool calling | JSON output | Strict schema |
|---|---|---|---|
| OpenRouterOpenRouter's own listing | ✗ | ✓ | ✓ |
| InferenceNetThrough OpenRouter | ✗ | ✓ | ✓ |
Tool calling: 0 of 2 listings say yes, 2 say no. JSON output: 2 of 2 listings say yes. Strict schema: 2 of 2 listings say yes.
When we formed this view
Recent changes
What moved
first indexed by our pipelineEach date is the day we first saw the change, or the day the maker announced it.
What we do not know about this model yet
- No independent board has scored it, so we hold no quality figures at all.
- Nothing we hold says whether an endpoint streams, so we do not show it either way.
- 1 of 2 listings does not say whether it trains on prompts.
- We hold no batch or off-peak rate for any of its listings.
Licence and identifiers
What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.
Licence
We hold no licence record for this model yet.
Identifiers
- Hugging Face
- inference-net/schematron-v2-granite-4.0-h-micro
- Takes in, gives back
- Text in, text out
- Catalogue slug
- inference-net-schematron-v2-turbo